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BIO-stress. Real-time stress detection system

More info

[BIO-estres]Commercial_Sheet_UPM_EN(Innovatech) PDF
 
Briefing

Low computational cost software for detecting the stress level of an individual in real time

The Group of Biometrics, Biosignals and Security (GB2S) within Centro de Domótica Integral (CeDInt) from Technical University of Madrid (UPM) has developed a stress-detection system to provide information on the state of mind of an individual for real-time applications and designing a low computational cost implementation.

This detection is of great interest for applications requiring a good preparation in high stress demand situations (such as training special forces) or a complement to existing security (as in the case of biometrics, road safety or automation). The method requires only two physiological signals (heart rate and galvanic skin response) and just easily integrated and noninvasive sensors, resulting in wide acceptance and usability by the individual. 

The stress-detection accuracy obtained hit 85% rates in an environment controlled laboratory.

 
Technology Solution

The software provides a solution for stress detection based on two physiological signals (heart rate and skin conductance), especially geared for real-time environments, which requires knowing the individual's mood instantly.

It must be noted that the main difference is based on modeling the behavior of both physiological signals in different degrees of stress by employing fuzzy logic, which allows a maximum adaptation to each subject.

Moreover, its low computational cost and the ability to integrate the required sensors represent a low invasiveness, resulting in increased acceptance and usability.

 

Commercial sector applications are:

  • Security: training special forces (police, fire, military) to improve its performance in stressful environments.
  • Transport: drowsiness detector driving.
  • Health: monitoring elderly (falls, accidents). 

 “The proposed method, based in fuzzy logic, achieves detection rates of 85% stress in a controlled environment laboratory“

 
Market demands

 Security 

  • Training special forces (police, fire, military) to act properly under stressful situations.
  • Soldier monitoring to quantify resilience and maximize the effective action in combat.  

Transport 

  • In Spain, 16% of road accidents are caused by falling asleep while driving.
  • Monitoring the attention of a driver in a non invasive way is one of the main goals in research related to road safety.
  • Also, excessive stress while driving leads to traffic accidents. 

Health 

  • Falls and other common accidents are a major cause of death in elderly people.
  • The social phenomenon called Silver Tsunami provides current governments' inability to deal with proactive monitoring of elders.

stress detection, stress, mood, software

 
Market potential

Security 

  • Post-traumatic stress disorder treatment could cost USA Army up to $1.5 million over the lifetime of a soldier [Los Ángeles Times].

 Transport 

  • Accidents caused by over-fatigued drivers in the U.S. represent a total of 12. 500 $ millions annually [Drowsy Driving].
  • In 2011, 238 people died from falling asleep while driving in Spain [Dirección General de Tráfico]. 

Health 

  • In 2020, direct and indirect costs related to falls and accidents of elderly will account almost 55 billion dollars a year [CVIDA].
  • In 2020, there will be a total of 10.1 million disabled elderly, which will require a total of 2.5 million dedicated nursing [Elder Parent Help].
 
Competitive advantages

  • Low invasiveness in acquiring physiological signals, resulting in higher integrability of sensors and user acceptability.
  • Continuous monitoring by quantifying the stress level of the individual.
  • High accuracy in the stress detection (85%).
  • Customized and adaptative stress detection according to individual's mood over time.
  • Stress detection method based on fuzzy logic with low computational cost and processing times in milliseconds.

“An accurate and instant stress detection could detect when a person falls asleep while driving (no stress), when an older person falls (nervousness) or if a soldier needs reinforcements for being unable to face combat missions (high stress) "

 
References

  • Wide research background and business collaboration.
  • High research interest for this technology solution both nationally and internationally.
  • Clear focus on innovation and commercialization of research by the group.
 
IPR

  • Patent applied in USA US20130137996
  • Registered software M-003315/2012

 

 
Development stage

  • Concept
  • R&D
  • Lab-Prototype
  • Industrial Prototype
  • Production
 
Contact

Bio-stress contact

Gonzalo Bailador, Carmen Sánchez Ávila

e: {gbailador,csa}@cedint.upm.es

w: http://www.gb2s.es

UPM contact

Innovation, Commercialization and Entrepreneurship Area

Centre of Support for Technological Innovation – UPM

e: innovacion.tecnologica@upm.es

 
S2i 2019 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)